W
Wei Wang
Researcher at Guangzhou Medical University
Publications - 93
Citations - 8808
Wei Wang is an academic researcher from Guangzhou Medical University. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 24, co-authored 88 publications receiving 6108 citations. Previous affiliations of Wei Wang include Wenzhou Medical College & Southern Medical University.
Papers
More filters
Journal ArticleDOI
Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China.
Wenhua Liang,Wei-jie Guan,Ruchong Chen,Wei Wang,Jianfu Li,Ke Xu,Caichen Li,Qing Ai,Weixiang Lu,Hengrui Liang,Shiyue Li,Jianxing He +11 more
Journal ArticleDOI
Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.
Wei Jie Guan,Wenhua Liang,Yi Zhao,Heng Rui Liang,Zi Sheng Chen,Yimin Li,Xiaoqing Liu,Ru Chong Chen,Chun Li Tang,Tao Wang,Chun-Quan Ou,Li Li,Ping Yan Chen,Ling Sang,Wei Wang,Jianfu Li,Caichen Li,Li Min Ou,Bo Cheng,Shan Xiong,Zheng Yi Ni,Jie Xiang,Yu Hu,Lei Liu,Hong Shan,Chun Liang Lei,Yi Xiang Peng,Li Wei,Yong Liu,Ya Hua Hu,Peng Peng,Jian-ming Wang,Ji Yang Liu,Zhong Chen,Gang Li,Zhi Jian Zheng,Shao Qin Qiu,Jie Luo,Chang Jiang Ye,Shao Yong Zhu,Lin Ling Cheng,Feng Ye,Shi Yue Li,Jin Ping Zheng,Nuo Fu Zhang,Nanshan Zhong,Jianxing He +46 more
TL;DR: It is found that among laboratory confirmed cases of COVID-19, patients with any comorbidity yielded poorer clinical outcomes than those without and a greater number ofComorbidities also correlated with poorer clinical outcome.
Posted ContentDOI
Comorbidity and its impact on 1,590 patients with COVID-19 in China: A Nationwide Analysis
Wei-jie Guan,Wenhua Liang,Yi Zhao,Hengrui Liang,Zisheng Chen,Yimin Li,Xiaoqing Liu,Ruchong Chen,Chun-Li Tang,Tao Wang,Chun-Quan Ou,Li Li,Ping-Yan Chen,Ling Sang,Wei Wang,Jianfu Li,Caichen Li,Limin Ou,Bo Cheng,Shan Xiong,Zhengyi Ni,Jie Xiang,Yu Hu,Lei Liu,Hong Shan,Chunliang Lei,Yi-xiang Peng,Li Wei,Yong Liu,Ya-hua Hu,Peng Peng,Jian-ming Wang,Ji-yang Liu,Zhong Chen,Gang Li,Zhi-jian Zheng,Shao-qin Qiu,Jie Luo,Chang-jiang Ye,Shao-yong Zhu,Linling Cheng,Feng Ye,Shiyue Li,Jinping Zheng,Nuofu Zhang,Nanshan Zhong,Jianxing He +46 more
TL;DR: Comorbidities are present in around one fourth of patients with COVID-19 in China, and predispose to poorer clinical outcomes, and have significantly escalated risks of reaching to the composite endpoint compared with those who had a single comorbidity.
Journal ArticleDOI
Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China.
Wenhua Liang,Wei Jie Guan,Caichen Li,Yimin Li,Heng Rui Liang,Yi Zhao,Xiaoqing Liu,Ling Sang,Ling Sang,Ru Chong Chen,Chun Li Tang,Tao Wang,Wei Wang,Qi Hua He,Zi Sheng Chen,Sook San Wong,Mark Zanin,Jun Liu,Xin Xu,Jun Huang,Jianfu Li,Li Min Ou,Bo Cheng,Shan Xiong,Zhan Hong Xie,Zheng Yi Ni,Yu Hu,Lei Liu,Hong Shan,Chun Liang Lei,Yi Xiang Peng,Li Wei,Yong Liu,Ya Hua Hu,Peng Peng,Jian-ming Wang,Ji Yang Liu,Zhong Chen,Gang Li,Zhi Jian Zheng,Shao Qin Qiu,Jie Luo,Chang Jiang Ye,Shao Yong Zhu,Lin Ling Cheng,Feng Ye,Shi Yue Li,Jin Ping Zheng,Nuo Fu Zhang,Nuo Fu Zhang,Nanshan Zhong,Jianxing He +51 more
TL;DR: There were more severe cases and poorer outcomes for COVID-19 patients treated in Hubei, which might be attributed to the prolonged duration of symptom onset to hospitalisation in the epicentre, and the reason for delaying hospitalisation is warranted.
Journal ArticleDOI
Early triage of critically ill COVID-19 patients using deep learning
Wenhua Liang,Jianhua Yao,Ailan Chen,Qingquan Lv,Mark Zanin,Jun Liu,Sook San Wong,Yimin Li,Jiatao Lu,Hengrui Liang,Guoqiang Chen,Haiyan Guo,Jun Guo,Rong Zhou,Limin Ou,Zhou Niyun,Hanbo Chen,Fan Yang,Xiao Han,Wenjing Huan,Weimin Tang,Wei-jie Guan,Zisheng Chen,Yi Zhao,Ling Sang,Yuanda Xu,Wei Wang,Shiyue Li,Ligong Lu,Nuofu Zhang,Nanshan Zhong,Junzhou Huang,Jianxing He +32 more
TL;DR: A deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness based on clinical characteristics at admission and is used to create an online calculation tool designed for patient triage at admission to identify patients at risk of severe illness.